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authorMădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de>2022-08-22 12:59:41 +0200
committerRicardo Wurmus <rekado@elephly.net>2022-08-23 11:43:20 +0200
commitf6bcde85a6d227ddf492dd89f7e79ef2835cb228 (patch)
tree40d3e80734e52307ec5ad65844e6815c5068cbdd /gnu
parent6c21c9fab1079e445e9ea2d23c007247fdac1199 (diff)
downloadguix-f6bcde85a6d227ddf492dd89f7e79ef2835cb228.tar.gz
guix-f6bcde85a6d227ddf492dd89f7e79ef2835cb228.zip
gnu: Add r-pcaexplorer.
* gnu/packages/bioconductor.scm (r-pcaexplorer): New variable.
Diffstat (limited to 'gnu')
-rw-r--r--gnu/packages/bioconductor.scm55
1 files changed, 55 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm
index b4f880a080..55b0024171 100644
--- a/gnu/packages/bioconductor.scm
+++ b/gnu/packages/bioconductor.scm
@@ -5073,6 +5073,61 @@ annotation packages each of which has its own schema by taking advantage of
the fact that each of these packages implements a select methods.")
(license license:artistic2.0)))
+(define-public r-pcaexplorer
+ (package
+ (name "r-pcaexplorer")
+ (version "2.22.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "pcaExplorer" version))
+ (sha256
+ (base32
+ "0xkafpi6y5n8hljdaj183hd5z4ik7lpbklg2cbx1hwfz4n4hh1bl"))))
+ (properties `((upstream-name . "pcaExplorer")))
+ (build-system r-build-system)
+ (propagated-inputs
+ (list r-annotationdbi
+ r-base64enc
+ r-biomart
+ r-deseq2
+ r-dt
+ r-genefilter
+ r-genomicranges
+ r-ggplot2
+ r-ggrepel
+ r-go-db
+ r-gostats
+ r-heatmaply
+ r-iranges
+ r-knitr
+ r-limma
+ r-nmf
+ r-pheatmap
+ r-plotly
+ r-plyr
+ r-rmarkdown
+ r-s4vectors
+ r-scales
+ r-shiny
+ r-shinyace
+ r-shinybs
+ r-shinydashboard
+ r-summarizedexperiment
+ r-threejs
+ r-tidyr
+ r-topgo))
+ (native-inputs (list r-knitr))
+ (home-page "https://github.com/federicomarini/pcaExplorer")
+ (synopsis
+ "Interactive Visualization of RNA-seq Data Using a Principal Components Approach")
+ (description
+ "This package provides functionality for interactive visualization of RNA-seq
+datasets based on Principal Components Analysis. The methods provided allow for
+quick information extraction and effective data exploration. A Shiny
+application encapsulates the whole analysis.")
+ (license license:expat)))
+
(define-public r-pcamethods
(package
(name "r-pcamethods")